{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:O34SSXQOK7IOVSMHFGRVQMEMLE","short_pith_number":"pith:O34SSXQO","canonical_record":{"source":{"id":"1305.4301","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-05-18T21:36:07Z","cross_cats_sorted":[],"title_canon_sha256":"96d1ebfedbe8a4343b28860d6e98b4ae71a7d57552c177115e5dc8ea3ec988c7","abstract_canon_sha256":"4e2b8e30eed3682defd03c414ce6920eade186c079e909e96b64777ef1ba1268"},"schema_version":"1.0"},"canonical_sha256":"76f9295e0e57d0eac98729a358308c5934418388fd69222662d87a8f93caf091","source":{"kind":"arxiv","id":"1305.4301","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1305.4301","created_at":"2026-05-18T02:52:47Z"},{"alias_kind":"arxiv_version","alias_value":"1305.4301v2","created_at":"2026-05-18T02:52:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.4301","created_at":"2026-05-18T02:52:47Z"},{"alias_kind":"pith_short_12","alias_value":"O34SSXQOK7IO","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_16","alias_value":"O34SSXQOK7IOVSMH","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_8","alias_value":"O34SSXQO","created_at":"2026-05-18T12:27:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:O34SSXQOK7IOVSMHFGRVQMEMLE","target":"record","payload":{"canonical_record":{"source":{"id":"1305.4301","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-05-18T21:36:07Z","cross_cats_sorted":[],"title_canon_sha256":"96d1ebfedbe8a4343b28860d6e98b4ae71a7d57552c177115e5dc8ea3ec988c7","abstract_canon_sha256":"4e2b8e30eed3682defd03c414ce6920eade186c079e909e96b64777ef1ba1268"},"schema_version":"1.0"},"canonical_sha256":"76f9295e0e57d0eac98729a358308c5934418388fd69222662d87a8f93caf091","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:52:47.938686Z","signature_b64":"DjIU7TrFxl6J9OMR03TIwnMQPRRoRSpl9IoEC7EfZqilYi0IAN//sCSH6/d4XhUN+IzlElUSRf2EEpBtI8bTAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"76f9295e0e57d0eac98729a358308c5934418388fd69222662d87a8f93caf091","last_reissued_at":"2026-05-18T02:52:47.937747Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:52:47.937747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1305.4301","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:52:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rF/JW/bxRHhk+NoIFMRaMo6MdJI5EpEBmKYyG14qjd26OM5KxCiwmwBTkrZO5S3EQMvS2Yie6DwCzpzdkV3YAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T02:15:31.281767Z"},"content_sha256":"db42fd1811d93b7403a5b38f0ad94f4b1aaba6286582d3bc71de24788f320d34","schema_version":"1.0","event_id":"sha256:db42fd1811d93b7403a5b38f0ad94f4b1aaba6286582d3bc71de24788f320d34"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:O34SSXQOK7IOVSMHFGRVQMEMLE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mixtures of Skew-t Factor Analyzers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Paula M. Murray, Paul D. McNicholas, Ryan P. Browne","submitted_at":"2013-05-18T21:36:07Z","abstract_excerpt":"In this paper, we introduce a mixture of skew-t factor analyzers as well as a family of mixture models based thereon. The mixture of skew-t distributions model that we use arises as a limiting case of the mixture of generalized hyperbolic distributions. Like their Gaussian and t-distribution analogues, our mixture of skew-t factor analyzers are very well-suited to the model-based clustering of high-dimensional data. Imposing constraints on components of the decomposed covariance parameter results in the development of eight flexible models. The alternating expectation-conditional maximization "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.4301","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:52:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iJaPdK34LVdcqWaZIjTLnCiMGWhoGnlsPyJZ4aAbKTh8CoQHLeMhDccJckSYYDeUJXFxKf/50sL6ygXm9BvwBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T02:15:31.282116Z"},"content_sha256":"d8d5e953cc183713bd2bbf9bca838d612bdfc9c9d376f2b4ee5862b8340348d8","schema_version":"1.0","event_id":"sha256:d8d5e953cc183713bd2bbf9bca838d612bdfc9c9d376f2b4ee5862b8340348d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O34SSXQOK7IOVSMHFGRVQMEMLE/bundle.json","state_url":"https://pith.science/pith/O34SSXQOK7IOVSMHFGRVQMEMLE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O34SSXQOK7IOVSMHFGRVQMEMLE/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-25T02:15:31Z","links":{"resolver":"https://pith.science/pith/O34SSXQOK7IOVSMHFGRVQMEMLE","bundle":"https://pith.science/pith/O34SSXQOK7IOVSMHFGRVQMEMLE/bundle.json","state":"https://pith.science/pith/O34SSXQOK7IOVSMHFGRVQMEMLE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O34SSXQOK7IOVSMHFGRVQMEMLE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:O34SSXQOK7IOVSMHFGRVQMEMLE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4e2b8e30eed3682defd03c414ce6920eade186c079e909e96b64777ef1ba1268","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-05-18T21:36:07Z","title_canon_sha256":"96d1ebfedbe8a4343b28860d6e98b4ae71a7d57552c177115e5dc8ea3ec988c7"},"schema_version":"1.0","source":{"id":"1305.4301","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1305.4301","created_at":"2026-05-18T02:52:47Z"},{"alias_kind":"arxiv_version","alias_value":"1305.4301v2","created_at":"2026-05-18T02:52:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.4301","created_at":"2026-05-18T02:52:47Z"},{"alias_kind":"pith_short_12","alias_value":"O34SSXQOK7IO","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_16","alias_value":"O34SSXQOK7IOVSMH","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_8","alias_value":"O34SSXQO","created_at":"2026-05-18T12:27:54Z"}],"graph_snapshots":[{"event_id":"sha256:d8d5e953cc183713bd2bbf9bca838d612bdfc9c9d376f2b4ee5862b8340348d8","target":"graph","created_at":"2026-05-18T02:52:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this paper, we introduce a mixture of skew-t factor analyzers as well as a family of mixture models based thereon. The mixture of skew-t distributions model that we use arises as a limiting case of the mixture of generalized hyperbolic distributions. Like their Gaussian and t-distribution analogues, our mixture of skew-t factor analyzers are very well-suited to the model-based clustering of high-dimensional data. Imposing constraints on components of the decomposed covariance parameter results in the development of eight flexible models. The alternating expectation-conditional maximization ","authors_text":"Paula M. Murray, Paul D. McNicholas, Ryan P. Browne","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-05-18T21:36:07Z","title":"Mixtures of Skew-t Factor Analyzers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.4301","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:db42fd1811d93b7403a5b38f0ad94f4b1aaba6286582d3bc71de24788f320d34","target":"record","created_at":"2026-05-18T02:52:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4e2b8e30eed3682defd03c414ce6920eade186c079e909e96b64777ef1ba1268","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-05-18T21:36:07Z","title_canon_sha256":"96d1ebfedbe8a4343b28860d6e98b4ae71a7d57552c177115e5dc8ea3ec988c7"},"schema_version":"1.0","source":{"id":"1305.4301","kind":"arxiv","version":2}},"canonical_sha256":"76f9295e0e57d0eac98729a358308c5934418388fd69222662d87a8f93caf091","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76f9295e0e57d0eac98729a358308c5934418388fd69222662d87a8f93caf091","first_computed_at":"2026-05-18T02:52:47.937747Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:52:47.937747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DjIU7TrFxl6J9OMR03TIwnMQPRRoRSpl9IoEC7EfZqilYi0IAN//sCSH6/d4XhUN+IzlElUSRf2EEpBtI8bTAg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:52:47.938686Z","signed_message":"canonical_sha256_bytes"},"source_id":"1305.4301","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db42fd1811d93b7403a5b38f0ad94f4b1aaba6286582d3bc71de24788f320d34","sha256:d8d5e953cc183713bd2bbf9bca838d612bdfc9c9d376f2b4ee5862b8340348d8"],"state_sha256":"6d044b660acd5ea578c81be423aae93a22a43d6642cb1f6476a0d7ea9e8ace4f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PaMWjb7Dgc23urzHpKrSw31EqcZAw+8kIonVc3jfcUOFtNQETB3WB8m1n/KVG7Pfq1mIxoR/APkvfgsgCPTvCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T02:15:31.284081Z","bundle_sha256":"cc1160856911530d9217822c907dc0d8a92f576957bab93c61d6b81ca5288b82"}}